Intel Core i7-14700 HP HP Z2 Tower G9 Workstation Desktop PC
Geekbench AI Score
3870
Single Precision Score
779
Half Precision Score
4726
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | icemc |
| Upload Date | August 29 2024 06:16 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | HP HP Z2 Tower G9 Workstation Desktop PC |
| Motherboard | HP 895C |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700 |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2350
437.1 IPS |
|
|
Image Classification (HP)
|
100% |
150
27.9 IPS |
|
|
Image Classification (Q)
|
99% |
4053
755.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1962
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
249
4.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
2707
44.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9698
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
4370
5.10 IPS |
|
|
Pose Estimation (Q)
|
95% |
30620
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
2453
194.6 IPS |
|
|
Object Detection (HP)
|
100% |
196
15.5 IPS |
|
|
Object Detection (Q)
|
88% |
2246
180.0 IPS |
|
|
Face Detection (SP)
|
100% |
4060
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
288
3.42 IPS |
|
|
Face Detection (Q)
|
97% |
4547
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9027
69.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
887
6.84 IPS |
|
|
Depth Estimation (Q)
|
76% |
10314
83.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20489
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10268
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
21308
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3412
126.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2065
76.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5128
189.9 IPS |
|
|
Text Classification (SP)
|
100% |
1333
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
707
943.4 IPS |
|
|
Text Classification (Q)
|
97% |
585
783.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2012
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
675
11.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2458
54.8 IPS |
